Paper
13 February 2008 Fluorescence molecular-tomography reconstruction with a priori anatomical information
Author Affiliations +
Abstract
In this study, we combine a generalized Tikhonov regularization method with a priori anatomical information to reconstruct the concentration of fluorophores in mouse with Chronic Obstructive Pulmonary disease (COPD) from in vivo optical and Magnetic Resonance (MR) measurements. Generalized Tikhonov regularization incorporates a penalty term in the optimization formulation of the fluorescence molecular tomography (FMT) inverse problem. Our design involves two penalty terms to make use of a priori anatomical structural information from segmented MR images. The choice of the penalty terms guide the fluorophores in reconstructed image concentrates in the region where it is supposed to be and assure smooth flourophore distribution within tissue of same type and enhances the discontinuities between different tissue types. We compare our results with traditional Tikhanov regularization techniques in extensive simulations and demonstrate the performance our approach in vivo mouse data. The results show that the increased fluorophore concentration in the mouse lungs is consistent with an increased inflammatory response expected from the corresponding animal disease model.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lu Zhou, Birsen Yazici, and Vasilis Ntziachristos "Fluorescence molecular-tomography reconstruction with a priori anatomical information", Proc. SPIE 6868, Small Animal Whole-Body Optical Imaging Based on Genetically Engineered Probes, 68680O (13 February 2008); https://doi.org/10.1117/12.763269
Lens.org Logo
CITATIONS
Cited by 7 scholarly publications and 2 patents.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image segmentation

Inverse problems

Magnetic resonance imaging

Luminescence

Tissues

In vivo imaging

Lung

Back to Top